Angie Calderón

Key Skills

Software

Labelbox

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Text

Top Task Types

Audio Recording

Classification

Text Generation

Translation Localization

Freelancer Overview

As a Medical Doctor (MD) with specialized experience in AI data annotation, I bring a rare combination of clinical expertise and technical skill to data training projects. My medical background provides me with a deep, contextual understanding of complex terminology, patient-doctor dialogues, and clinical procedures. This expertise covers a wide range of medical data, including clinical trial documentation, electronic health records (EHR), and dictated patient notes, ensuring all annotations are contextually flawless. This is complemented by my work as a bilingual medical interpreter (English/Spanish), where I have honed my ability for precise, nuanced linguistic accuracy in high-stakes environments. I have hands-on experience in data labeling, including detailed audio transcription and VAD (Voice Activity Detection) annotation. My technical proficiency allows me to quickly adapt to new platforms and workflows, ensuring both accuracy and efficiency. I am meticulous, highly detail-oriented, and dedicated to adhering to complex project guidelines to ensure the highest data quality. I am passionate about bridging the gap between healthcare and technology and am confident in my ability to contribute to any project requiring a superior level of medical knowledge, making me a unique asset for developing next-generation healthcare AI.

Labeling Experience

VAD Labeling

LabelboxAudioSegmentationTranslation Localization

VAD Data Annotator. Executed precise Voice Activity Detection (VAD) and audio segmentation on a large-scale dataset using the Labelbox platform. Performed detailed transcription of bilingual audio (English/Spanish), accurately capturing user and assistant speech, including filled pauses, interruptions, and acknowledgements. Expertly handled and annotated complex audio files containing significant background noise (e.g., TV, public spaces), applying updated project guidelines to ensure data consistency. Rigorously followed complex and evolving annotation rules to classify speech tokens

VAD Data Annotator. Executed precise Voice Activity Detection (VAD) and audio segmentation on a large-scale dataset using the Labelbox platform. Performed detailed transcription of bilingual audio (English/Spanish), accurately capturing user and assistant speech, including filled pauses, interruptions, and acknowledgements. Expertly handled and annotated complex audio files containing significant background noise (e.g., TV, public spaces), applying updated project guidelines to ensure data consistency. Rigorously followed complex and evolving annotation rules to classify speech tokens

2025

Education

Work History